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JCO
2006
83views more  JCO 2006»
14 years 9 months ago
Separating online scheduling algorithms with the relative worst order ratio
The relative worst order ratio is a measure for the quality of online algorithms. Unlike the competitive ratio, it compares algorithms directly without involving an optimal offline...
Leah Epstein, Lene M. Favrholdt, Jens S. Kohrt
EUSFLAT
2003
205views Fuzzy Logic» more  EUSFLAT 2003»
14 years 11 months ago
The use of NNPLS algorithm for on-line calibration monitoring
The paper presents a specialised Partial Least Squares (PLS) algorithm for on-line calibration monitoring. At first, the basic scheme and philosophy of PEANO (Process Evaluation a...
Andreas Kirschner
ICASSP
2011
IEEE
14 years 1 months ago
A sliding-window online fast variational sparse Bayesian learning algorithm
In this work a new online learning algorithm that uses automatic relevance determination (ARD) is proposed for fast adaptive nonlinear filtering. A sequential decision rule for i...
Thomas Buchgraber, Dmitriy Shutin, H. Vincent Poor
JAIR
2002
163views more  JAIR 2002»
14 years 9 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu
TCS
2008
14 years 9 months ago
Bincoloring
We introduce a new problem that was motivated by a (more complicated) problem arising in a robotized assembly environment. The bin coloring problem is to pack unit size colored it...
Sven Oliver Krumke, Willem de Paepe, Jörg Ram...